The RPNT Platform

Repository Platform for Nanotechnology

Discover the RPNT platform

FAQ for RPNT

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RPNT is a free online learning platform, available to the teaching
community, which works as a repository with ready 3D designs for Nanostructures, and nanosensors, along with ready lesson plans and STEM teaching assessment criteria (rubrics). Our main goal is to promote Nanotechnology, within this learning design framework, as a part of the problem-solving STEM approach.

The RPNT platform can be used by teachers and students

The educational material offered by the platform relates to:

  1. 3D designs of Micro-Electro-Mechanical Systems (MEMS) such as:
    • Accelerometers
    • Gyroscopes
    • Humidity sensors
    • Temperature sensors
    • 3D accelerometer and 3D magnetometer
    • MEM Microphone
  2. Lesson plans and tutorials
  3. Course evaluation rubrics

The repository platform is built on WordPress 6.3.2, with MariaDB as the database, while the lesson plans are constructed according to WordPress Tutor LMS and each lesson material also relates to a video course, along with quizzes, with h5p.org Web 2.0 tools.

Computational Thinking (CT) is undoubtedly considered a fundamental skill as reading, writing, and arithmetic in the 21st century. Janette Wing, in a continuing effort to improve her initial definition of CT, expressed that CT refers to the mental processes involved in formulating a problem and expressing its solution(s) in such a way that a computer—human or machine—can carry out the task effectively. Currently, CT has become commonly accepted as a problem-solving method which includes a set of concepts such as abstraction, decomposition, generalization, algorithmic thinking and evaluation. These concepts mainly arises from fundamental Computer Science and Computing Science practices.

The dimensions of CT are as follows:

  • The ability to think algorithmically
  • The ability to decompose an initial problem to smaller problems and to try to firstly solve the smaller ones
  • The ability to draw conclusions (i.e. generalize) and to use patterns
  • The ability to evaluate a model
  • The ability to think abstractly

The platform offers a series of training material about the nanosensors. The supplementary learning activities are inspired by the STEM world emphasizing the promoting of Computational Thinking skills and concepts.

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